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12385-01 - Lecture: Bayesian Biostatistics 5 CP

Semester spring semester 2024
Course frequency Every spring sem.
Lecturers Penelope Vounatsou (penelope.vounatsou@unibas.ch, Assessor)
Content Introduction to probability theory; Bayesian inference and computation; Regression models for continuous, binary, polytomous and count independent and correlated data; Models for spatio-temporal data; Meta-analysis of clinical trials; Modelling diagnostic error. Statistical inference will be taught using the frequentist and Bayesian approaches
Learning objectives To understand the differences between Bayesian and maximum likelihood inferences, to formulate models within the Bayesian paradigm for different types of independent and correlated outcome data, to model different sources of variation, to estimate the model parameters using existing software and interpret the results.
Comments Methods: Lectures, exercises, computer practicals and project work

 

Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Wednesday 09.15-13.00 Swiss TPH Neubau, Seminarraum 4

Dates

Date Time Room
Wednesday 28.02.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 06.03.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 13.03.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 20.03.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 27.03.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 03.04.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 10.04.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 17.04.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 6
Wednesday 24.04.2024 09.15-13.00 Swiss TPH Neubau, Mikroskopie 3
Wednesday 01.05.2024 09.15-13.00 Tag der Arbeit
Wednesday 08.05.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 15.05.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 22.05.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Wednesday 29.05.2024 09.15-13.00 Swiss TPH Neubau, Seminarraum 4
Modules Courses: Master Infection Biology (Master's Studies: Infection Biology)
Doctorate Science Epidemiology: Recommendations (PhD subject: Epidemiology)
Module: Advances in Epidemiology, Statistics and Global & Public Health (Master's Studies: Epidemiology)
Assessment format continuous assessment
Assessment details Assignments, written exam
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale Pass / Fail
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Schweizerisches Tropen- und Public Health-Institut

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